CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
A Sparse Spherical Harmonic-Based Model in Subbands for Head-Related Transfer Functions
Xiaoke Qi1; Jianhua Tao1,2
2016
会议名称Annual Conference of the International Speech Communication Association-Interspeech
会议日期September 8–12, 2016
会议地点San Francisco, USA
摘要Several functional models for head-related transfer function (HRTF) have been proposed based on spherical harmonic (SH) orthogonal functions, which yield an encouraging performance level in terms of log-spectral distortion (LSD). However, since the properties of subbands are quite different and highly subject-dependent, the degree of SH expansion should be adapted to the subband and the subject, which is quite challenging. In this paper, a sparse spherical harmonic-based model termed SSHM is proposed in order to achieve an intelligent frequency truncation. Different from SH-based model (SHM) which assigns the degree for each subband, SSHM constrains the number of SH coefficients by using an l_1 penalty, and automatically preserves the significant coefficients in each subband. As a result, SSHM requires less coefficients at the same SD level than other truncation methods to reconstruct HRTFs. Furthermore, when used for interpolation, SSHM gives a better fitting precision since it naturally reduces the influence of the fluctuation caused by the movement of the subject and the processing error. The experiments show that even using about 40% less coefficients, SSHM has a slightly lower LSD than SHM. Therefore, SSHM can achieve a better tradeoff between efficiency and accuracy.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/15469
专题模式识别国家重点实验室_语音交互
作者单位1.National Laboratory of Pattern Recognition (NLPR)
2.CAS Center for Excellence in Brain Science and Intelligence Technology
推荐引用方式
GB/T 7714
Xiaoke Qi,Jianhua Tao. A Sparse Spherical Harmonic-Based Model in Subbands for Head-Related Transfer Functions[C],2016.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
1.PDF(193KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xiaoke Qi]的文章
[Jianhua Tao]的文章
百度学术
百度学术中相似的文章
[Xiaoke Qi]的文章
[Jianhua Tao]的文章
必应学术
必应学术中相似的文章
[Xiaoke Qi]的文章
[Jianhua Tao]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 1.PDF
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。